Christina Schenk
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics top 10%
- Public Health, Environmental and Occupational Health
- Biomedical Engineering
- Co-authors
- H.‐G. PurwinsMichal Or‐GuilM. BodeMathias BodeAndreas W. Kempa-LiehrPeter SchützVolker SchulzChristian von Wallbrunn
- Topics
- Microbial Metabolic Engineering and Bioproduction (4 papers)Nonlinear Dynamics and Pattern Formation (4 papers)Advanced Control Systems Optimization (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCondensed Matter Physics
- Journals
- Physical Review LettersJournal of Materials Chemistry AInternational Journal for Numerical Methods in Engineering
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Christina Schenk
17 papers receiving 393 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 309
- Statistical and Nonlinear Physics 193
- Condensed Matter Physics 73
- Public Health, Environmental and Occupational Health 67
- Biomedical Engineering 63
Countries citing papers authored by Christina Schenk
This map shows the geographic impact of Christina Schenk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christina Schenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Schenk more than expected).
Fields of papers citing papers by Christina Schenk
This network shows the impact of papers produced by Christina Schenk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christina Schenk. The network helps show where Christina Schenk may publish in the future.
Co-authorship network of co-authors of Christina Schenk
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Schenk. A scholar is included among the top collaborators of Christina Schenk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christina Schenk. Christina Schenk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 90 | |
| 16 | 74 | |
| 17 | 52 | |
| 18 | 144 |
About Christina Schenk
Christina Schenk is a scholar working on Statistical and Nonlinear Physics, Analytical Chemistry and Computer Networks and Communications, having authored 18 papers that have together received 423 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (193 citations), Computer Networks and Communications (309 citations) and Condensed Matter Physics (73 citations). Christina Schenk has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include H.‐G. Purwins, Michal Or‐Guil, M. Bode, Mathias Bode, Andreas W. Kempa-Liehr, Peter Schütz, Volker Schulz, Christian von Wallbrunn, Maciej Harańczyk and Lorenz T. Biegler. Their work appears in journals such as Physical Review Letters, Journal of Materials Chemistry A and International Journal for Numerical Methods in Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.